1 citations · 2 across the 3 of their papers we have counts for
3 papers
q-bio.GN2004★ 1 cited
A Machine Learning Strategy to Identity Exonic Splice Enhancers in Human Protein-coding Sequence
Thomas A. Down, Bernard Leong, Tim J. P. Hubbard
Background: Exonic splice enhancers are sequences embedded within exons which promote and regulate the splicing of the transcript in which they are located. A class of exonic splic…
q-bio.GN2003
What can we learn from noncoding regions of similarity between genomes?
Thomas A. Down, Tim J. P. Hubbard
Background: In addition to known protein-coding genes, large amount of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to assu…
q-bio.GN2003★ 1 cited
Relevance Vector Machines for classifying points and regions in biological sequences
Thomas A. Down, Tim J. P. Hubbard
The Relevance Vector Machine (RVM) is a recently developed machine learning framework capable of building simple models from large sets of candidate features. Here, we describe a p…